LVN Smart Liquidity📊 LVN SMART LIQUIDITY
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🎯 OVERVIEW
LVN Smart Liquidity is an advanced Market Profile-based indicator that automatically identifies Low Volume Nodes (LVN) across multiple timeframes. Unlike traditional volume-based indicators, this tool uses TPO (Time Price Opportunity) calculations to detect price levels where minimal trading activity occurred, revealing potential breakout zones and rapid price movement areas.
These LVN zones often behave similarly to Fair Value Gaps (FVG) in Smart Money Concepts, representing "thin air" areas where price tends to move quickly with minimal resistance. The indicator provides dynamic zone management with an immunity period system to prevent premature zone closure.
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🔬 HOW IT WORKS
MARKET PROFILE TPO METHODOLOGY:
The indicator analyzes each higher timeframe period by:
1. Dividing the price range into 20 equal levels
2. Counting how many bars touched each level (TPO count)
3. Identifying levels with TPO counts below the threshold (default 30% of maximum)
4. Creating horizontal zones that extend until price touches them
MULTI-TIMEFRAME ANALYSIS:
• Supports up to 5 independent timeframes simultaneously
• Each timeframe generates its own LVN zones with unique colors
• Auto-timeframe mode adapts to your chart period
• Zones project from historical sessions onto current price action
SMART ZONE MANAGEMENT:
• Immunity Period: New zones are protected for N bars after creation (default 20)
• This prevents zones from disappearing immediately when price is already within them
• Zones extend right until price touches them, then stop extending
• Historical zones remain visible for reference (optional)
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💡 WHY LVN ZONES MATTER
Low Volume Nodes represent price levels where:
✓ Price spent minimal time (rejection zones)
✓ Few market participants were active
✓ Inefficient price discovery occurred
✓ Similar to Fair Value Gaps in ICT/SMC methodology
TRADING APPLICATIONS:
• Breakout Acceleration: Price moves rapidly through LVN zones
• Profit Targets: Place targets beyond LVN zones where momentum slows
• Stop Loss Placement: Avoid placing stops inside LVN zones (price likely to continue)
• Confluence with FVG: LVN zones often align with Fair Value Gaps
• Retest Opportunities: When price revisits LVN, expect quick moves
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⚙️ KEY FEATURES
TIMEFRAME FLEXIBILITY:
• 5 independent timeframe slots with enable/disable toggles
• Auto-mode intelligently selects higher timeframes
• Preset options: 5m, 15m, 30m, 1H, 2H, 4H, D, W, 2W, M, 3M, 6M, 12M
VISUAL CUSTOMIZATION:
• Individual color settings for each timeframe
• Adjustable box transparency and border width
• Toggle timeframe labels and period dates on/off
• Four text size options: tiny, small, normal, large
ADVANCED CONTROLS:
• LVN Threshold: 0-50% (default 30%) - lower = fewer, stronger zones
• Immunity Period: 0-50 bars (default 20) - prevents premature closure
• Show/Hide old boxes for clean chart appearance
• Maximum 500 boxes supported per timeframe
PROFESSIONAL DISPLAY:
• Zones show timeframe label (5m, 1H, D, etc.)
• Optional period dates (dd.MM-dd.MM format)
• Boxes extend right dynamically until price touch
• Clean visual hierarchy with bordered zones
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📈 HOW TO USE
SETUP:
1. Add indicator to chart
2. Enable desired timeframes (TF1, TF2, etc.)
3. Adjust LVN threshold based on your trading style:
• 20-25% = Very selective (only thinnest zones)
• 30-35% = Balanced (recommended for most markets)
• 40-50% = More zones (higher sensitivity)
INTERPRETATION:
• RED/DARK ZONES = Low trading activity occurred here
• Price tends to move THROUGH these zones quickly
• Similar behavior to Fair Value Gaps (FVG) in Smart Money theory
• Expect acceleration when price enters LVN zones
TRADING STRATEGIES:
1. BREAKOUT TRADING:
- Wait for price to approach LVN zone
- Enter when price breaks into the zone
- Expect rapid movement through the zone
- Target next support/resistance beyond LVN
2. CONFLUENCE ANALYSIS:
- Combine with other SMC concepts (Order Blocks, FVG, Liquidity)
- LVN + FVG overlap = high-probability acceleration zone
- Use higher timeframe LVN as directional bias
3. MULTI-TIMEFRAME:
- Daily LVN = major breakout zones
- 4H LVN = intraday momentum areas
- 15m LVN = scalping opportunities
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⚠️ IMPORTANT NOTES
WHAT THIS INDICATOR IS:
✓ Market Profile TPO-based LVN detector
✓ Multi-timeframe zone identification tool
✓ Visual representation of low trading activity areas
✓ Complementary to Smart Money Concepts (SMC/ICT)
WHAT THIS INDICATOR IS NOT:
✗ Not a standalone trading system
✗ Not a guaranteed profit generator
✗ Not financial advice
✗ Requires confirmation from price action and other tools
LIMITATIONS:
• Works best on liquid markets with reliable data
• Lower timeframes may produce excessive zones
• Requires understanding of Market Profile concepts
• Performance depends on proper threshold calibration
BEST PRACTICES:
• Start with 1-2 timeframes, add more as needed
• Use higher timeframes for swing trading
• Combine with support/resistance, trendlines, order blocks
• Backtest on your specific instrument before live trading
• Adjust immunity period based on market volatility
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🔧 SETTINGS GUIDE
TIMEFRAME GROUPS (1-5):
Each group contains:
• Enable toggle - Turn timeframe on/off
• Timeframe selector - Choose period or Auto
• Box color - Zone fill color
• Border color - Zone outline color
GENERAL SETTINGS:
• LVN Threshold (%) - Percentage of max TPO to qualify as LVN
• Show Old LVN Boxes - Keep historical zones visible
• Box Border Width - Visual thickness (1-4)
• Immunity Period - Protection bars for new zones
• Show Timeframe - Display TF label in boxes
• Show Period - Display date range in boxes
• Text Size - Label size adjustment
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📊 ORIGINALITY & UNIQUENESS
This indicator is original because:
1. TPO-BASED CALCULATION: Uses Market Profile Time-Price-Opportunity methodology instead of traditional volume analysis, making it work on all markets including those without real volume data (Forex, some indices).
2. IMMUNITY SYSTEM: Unique protection mechanism prevents zones from disappearing immediately when price is already within zone boundaries at creation time.
3. TRUE MULTI-TIMEFRAME: Independent calculation for each timeframe with separate zone management, not simple higher timeframe projection.
4. SMART ZONE LIFECYCLE: Zones dynamically extend until price touch, then become static historical references.
5. FVG-LIKE BEHAVIOR: Bridges traditional Market Profile analysis with modern Smart Money Concepts by identifying zones that behave similarly to Fair Value Gaps.
Unlike existing LVN indicators that rely on volume data, this tool uses time-based analysis, making it universal across all market types and compatible with brokers that don't provide accurate volume information.
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📚 TECHNICAL BACKGROUND
MARKET PROFILE THEORY:
Developed by J. Peter Steidlmayer in the 1980s, Market Profile analyzes market behavior by examining price and time relationships. Low Volume Nodes in traditional profile represent areas where market participants showed minimal interest.
TPO (TIME PRICE OPPORTUNITY):
Instead of counting volume, TPO counts how many time periods (bars) touched each price level. This approach:
• Works on all markets regardless of volume data quality
• Reflects actual time-based market acceptance/rejection
• Reveals psychological price levels through time distribution
CONNECTION TO SMART MONEY CONCEPTS:
Fair Value Gaps (FVG) in ICT methodology represent similar inefficiencies:
• Areas where price moved too quickly
• Imbalances in buying/selling pressure
• Zones that price may revisit or accelerate through
• LVN zones often overlap with FVG locations
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🎓 RECOMMENDED RESOURCES
To maximize this indicator's effectiveness, study:
• Market Profile fundamentals (TPO, POC, Value Area)
• Smart Money Concepts (FVG, Order Blocks, Liquidity)
• Multi-timeframe analysis techniques
• Volume Profile comparison (understand the difference)
COMPANION INDICATOR:
Consider using "HVN Smart Liquidity" (opposite concept) to identify both high and low volume zones for complete Market Profile analysis.
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💬 SUPPORT & FEEDBACK
Questions or suggestions? Feel free to comment below or send a private message.
If you find this indicator useful, please boost and share with other traders!
⚠️ DISCLAIMER: This indicator is for educational purposes only. Trading involves risk. Always do your own research and use proper risk management.
Recherche dans les scripts pour "liquidity"
Opening Range & Session Liquidity [LTS]“Opening Range & Session Liquidity ” is an intraday planning tool that combines a configurable Opening Range box with session highs/lows and previous-day reference levels. It is designed to help you visualize where liquidity is likely to build up around the cash open and major global sessions, without making any forecasts or performance promises. It is designed with our signature attention to user customization and accessibility.
Opening Range & Bias
The script builds a configurable Opening Range (OR) in New York time (default 08:00–08:15 on a 15-minute basis), regardless of your chart timeframe (up to 1-hour). The high, low, and midline of this window are drawn as a transparent box and dashed midline that extend forward so you can see how the session trades around that range.
At a user-defined Bias Check Time (default 09:30–09:31 NY), the script classifies the OR as:
Bullish if price is above the OR high
Bearish if price is below the OR low
Neutral if price is still trading inside the OR
The box color updates to reflect the current bias if bias mode is enabled. All OR parameters (formation window, bias check, colors, maximum number of zones, etc.) are adjustable.
Entry Signal Logic
The indicator can optionally generate non-repainting visual signals when price interacts with the OR midline.
1. 9:30 Bias mode (trend-following)
A directional bias is locked in at the bias check time.
Signals trigger only when price trades through the OR midline inside the box, aligned with that bias:
Bullish bias → long signal when price touches the midline from below and closes inside the range.
Bearish bias → short signal when price touches the midline from above and closes inside the range.
Each “episode” can fire only once; signals are confirmed on the bar where the conditions first become true.
2. Entry Direction mode (reaction to first touch)
Instead of using a fixed 9:30 bias, the script detects from which side price first enters the OR (from above or from below).
That “entry direction” stays active until price fully exits and closes outside the OR again.
When price later touches the midline while the entry direction is defined, a single long or short signal is triggered based on the stored direction of entry.
In both modes, historical signals are plotted without using future data; only the real-time bar can change state until it closes.
Optional TP/SL Visualization
When a long or short signal appears, the script can draw simple take-profit/stop-loss boxes to illustrate a basic one-trade idea:
Stop-loss distance can be defined as:
A fixed number of points beyond the OR high/low, or
A percentage of ATR (configurable length and percent).
Take-profit is automatically placed at a user-defined risk-to-reward multiple of that stop distance.
The boxes extend forward bar by bar and stop updating once either TP or SL is touched, or when a new OR session resets the context.
These boxes are for visualization only and do not place or manage orders.
Session Liquidity & PDH/PDL
To help you map where liquidity frequently builds up, the script tracks three configurable intraday sessions in New York time:
Asian session (default 18:00–02:00)
London session (default 03:00–08:00)
New York session (default 09:30–16:00)
For each completed session, the indicator records the session high and low, then:
Draws solid horizontal lines and labels (e.g., “Asia Hi/Lo”, “London Hi/Lo”, “NY Hi/Lo”).
Extends these solid lines to the right as long as they remain untouched by price.
When price first trades through a level, the solid line is cut at that bar and replaced by a dashed line that extends only until the next session of the same type begins.
Older sessions are automatically removed according to the “Max Sessions to Display” setting to reduce chart clutter.
In addition, the indicator plots:
Previous Day High (PDH) & Previous Day Low (PDL)
Previous Day Point of Control (PDPoC) – an approximate volume-weighted price computed from intraday data using a simple binning approach on a user-chosen lower timeframe.
Like the session levels, PDH/PDL/PDPoC start as solid lines. After the first touch, each level switches to a dashed style and continues only until the following trading day, at which point the previous day’s dashed lines are stopped and new levels are created.
Info Table & Multi-Timeframe Logic
An optional on-chart info table summarizes the most recent Opening Range:
OR high, low, and midline
Current OR range in points
Active mode (9:30 Bias vs. Entry Direction)
Current bias or entry-direction status
Whether a signal is “Waiting”, “Armed”, or “Triggered”
Whether the OR was built from the chart timeframe or from a 15-minute higher-timeframe feed
If your chart timeframe is higher than the OR calculation timeframe, the script automatically uses multi-timeframe data to build a consistent OR, while enforcing a maximum chart timeframe of 1-hour for reliability.
How to Use This Tool
Use the OR box and bias to define your primary intraday context around the cash open.
Use session highs/lows and PDH/PDL/PDPoC as objective reference levels for where price may react or where stops and liquidity might cluster.
Treat the signal markers and TP/SL boxes as visual guides only. They can help you structure trade ideas, but they are not a trading system by themselves.
Always confirm levels and signals with your own analysis, risk management, and execution rules.
Limitations & Notes
The script is intended for intraday charts up to 1-hour. By the nature of the information being displayed, any time frame above that may result is undesirable visual clutter.
The POC calculation is an approximation based on lower timeframe bar-level volume and binning; it is not a tick-by-tick volume profile.
Signals and levels update in real time on the current forming bar. Once a bar closes, completed historical signals do not repaint, but the last live bar can change until it closes.
The indicator does not use lookahead or offset plotting into the past; it is not designed to predict the future or guarantee any particular trading result.
Always test settings on a demo environment first and manage risk according to your own plan.
QuantMotions - Smart Money BlocksSmart Money Blocks – Clean Edition is a minimalistic, high-precision Smart Money Concepts (SMC) tool designed for traders who want clean and reliable market structure signals without chart clutter.
This script detects and visualizes Order Blocks, Fair Value Gaps (FVGs), and Liquidity Levels using a strictly filtered, volume-based institutional logic.
Unlike many SMC indicators that overload the chart with noise, this version is built to stay fast, clean, and accurate — ideal for both scalpers and higher-timeframe traders.
🔍 Features
✔ Institutional Order Block Detection
• Identifies bullish and bearish order blocks
• Uses high-volume + price-displacement confirmation
• OBs extend forward and deactivate when broken
• Includes volume + tick range info-box
✔ Fair Value Gaps (FVG)
• Auto-detects bullish and bearish FVGs
• Marks imbalance zones until they are fully filled
• Clean, non-intrusive visualization
✔ Liquidity Levels
• Smart swing-high/swing-low liquidity detection
• Tracks touches to distinguish strong vs weak levels
• Marks support/resistance liquidity with labels only (no chart clutter)
⚙️ Clean & Minimal Design
This script is optimized for a clean workflow:
• No volume profile
• No BOS/CHOCH spam
• No unused SMC elements
• Only high-value SMC signals
• Clean color theme for dark charts
The goal is to provide only what matters, nothing more.
📈 Use Cases
• Smart Money / ICT style trading
• Scalping (1s – 1m)
• Intraday / London & New York session trading
• Swing trading
• Market structure analysis
• Liquidity and imbalance mapping
Whether you're identifying points of interest (POIs), building a bias, or mapping high-probability reaction zones — this tool helps you see structure clearly.
🔔 Alerts Included
• Order Block creation
• FVG creation
• Price touching an active Order Block
• Volume surge
• Institutional candle detection
• Structure break detection
Great for automation or bias confirmation.
🧠 Why This Script?
Many SMC indicators try to do everything — which often results in clutter, lag, and unreliable signals.
This edition focuses on precision, clarity, and real usability.
The logic is light, efficient, and suited for real-time execution on very fast charts.
📌 Note
This tool does not generate trade signals by itself.
It is designed as a market structure map for traders who already understand Smart Money principles such as:
• Displacement
• Imbalance
• Institutional candles
• OB mitigation
• Liquidity sweeps
Use it as part of your confluence system.
WaveLab GOLD Study**Description**
`WaveLab GOLD Study – Liquidity & Structure` is an educational chart study that visualizes market structure, liquidity context and confluence.
It is not a trading system and does not generate trade instructions or orders.
**Main Components**
* **Liquidity Engine** – Builds demand/supply-style boxes around strong breaks of structure, high-volume candles and optional FVG conditions.
When price revisits a strong box, the study can plot bar markers:
`B` below the bar for bullish context, `S` above the bar for bearish context.
* **Trend & LR / MTF Context** – Optional EMAs, Donchian, VWAP and a Linear Regression slope with simple angle classification (`strong up / flat / strong down`), plus multi-timeframe RSI to show broader directional background.
* **Price Action Layer** – Detects a small set of classic bar patterns (engulfing, hammer / shooting star, inside / outside bar) and summarizes them into a qualitative bias (bullish, bearish, inside, outside, neutral).
* **Dashboard** – Compact table that displays price, short-term momentum, trend state, PA status, liquidity context and the current B/S confluence marker.
**How to Use (Educational)**
1. Start from liquidity boxes to see where reactions cluster.
2. Add trend, LR and MTF context to understand whether price is moving with or against the broader environment.
3. Use B/S markers and the dashboard only as visual summaries to review bars and build a discretionary framework; they are not entry or exit signals.
**Disclaimer**
This script is for educational and illustrative purposes only.
It does not provide financial advice or recommendations, and any trading decisions remain entirely the user’s responsibility.
Stablecoin Liquidity Delta v2 (Aggregate Market Cap Flow)Updated version of Stablecoin Liquidity Delta (Aggregate Market Cap Flow).
Hi All,
This indicator visualizes the bar-to-bar change in the aggregate market capitalization of major stablecoins, including USDT, USDC, DAI, and others. It serves as a proxy for monitoring on-chain liquidity and measuring capital inflows or outflows across the crypto market.
Stablecoins are the primary liquidity layer of the crypto economy. Their combined market capitalization acts as a mirror of the available fiat-denominated liquidity in digital markets:
🟩 An increase in the total stablecoin market capitalization indicates new issuance (capital entering the market).
🟥 A decrease reflects redemption or burning (liquidity exiting the system).
Tracking these flows helps anticipate macro-level liquidity trends that often lead overall market direction, providing context for broader price movements.
All values are derived from TradingView’s public CRYPTOCAP tickers, which represent the market capitalization of each stablecoin. While minor deviations can occur due to small price fluctuations around the $1 peg, these figures serve as a proxy for circulating supply and net issuance across the stablecoin ecosystem.
Stablecoin Liquidity Delta (Aggregate Market Cap Flow)Hi All,
This indicator visualizes the bar-to-bar change in the aggregate market capitalization of major stablecoins, including USDT, USDC, DAI, and others. It serves as a proxy for monitoring on-chain liquidity and measuring capital inflows or outflows across the crypto market.
Stablecoins are the primary liquidity layer of the crypto economy. Their combined market capitalization acts as a mirror of the available fiat-denominated liquidity in digital markets:
🟩 An increase in the total stablecoin market capitalization indicates new issuance (capital entering the market).
🟥 A decrease reflects redemption or burning (liquidity exiting the system).
Tracking these flows helps anticipate macro-level liquidity trends that often lead overall market direction, providing context for broader price movements.
All values are derived from TradingView’s public CRYPTOCAP tickers, which represent the market capitalization of each stablecoin. While minor deviations can occur due to small price fluctuations around the $1 peg, these figures serve as a proxy for circulating supply and net issuance across the stablecoin ecosystem.
Simulated Liquidity Zone Heatmap (SLZH) v5 (Stable)# 📈 Simulated Liquidity Zone Heatmap (SLZH) v5 - Order Flow Proxy & Adaptive VWAP
## 💡 Overview
The **Simulated Liquidity Zone Heatmap (SLZH)** is an advanced, stable Pine Script indicator designed to give traders an edge by visualizing **structural market liquidity** and **institutional order flow**. It acts as a powerful proxy for structural zones (like average cost basis) that are often missed by traditional technical analysis.
SLZH achieves this by combining two highly effective components:
1. **Volume-Based Liquidity Zones (VBLZ):** A dynamic, adaptive heatmap based on **Volume-Weighted Average Price (VWAP)** and Standard Deviation.
2. **Order Block (OB) Signals:** Stable, high-conviction signals marking the origin of strong impulsive moves.
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## 📊 Key Features & Interpretation
### 1. Volume-Based Liquidity Zones (VBLZ) - The Adaptive Heatmap
The VBLZ dynamically paints a three-tiered support/resistance system, representing the market's average cost basis and conviction. This is primarily used as a **mean-reversion tool**.
| Component | Interpretation | Trading Action |
| :--- | :--- | :--- |
| **VWAP Center** (White Line) | The **Center of Liquidity**. Price is often attracted back to this line. | Use as a **Primary Target** when trading from the outer zones. |
| **Strong VBLZ** (Darkest Color) | **Highest Volume Concentration** (1 StdDev). Primary structural support/resistance. | Look for **Reversals** when price enters this zone. |
| **Mid/Weak VBLZ** (Lighter Colors) | Secondary areas of interest. | Use as **Secondary Targets** or to confirm an extended move. |
### 2. Order Block (OB) Signals - Structural Support/Resistance
The OB signals mark the last counter-trend candle before a strong, sustained move, indicating a potential institutional supply or demand zone. These are displayed as stable triangles on the chart.
* **Bullish OB** (Green Triangle Up): Marks a potential **Demand Zone**. Look for high-probability **long entries** when price returns to the area of this signal.
* **Bearish OB** (Red Triangle Down): Marks a potential **Supply Zone**. Look for high-probability **short entries** when price returns to the area of this signal.
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## 🎯 High-Conviction Trading Strategy
The most effective way to use SLZH is to look for **confluence** between the dynamic VBLZ and the static OB signals. This combination creates the highest probability trade setups.
| Trade Setup | VBLZ Condition | OB Signal Condition | Action | Rationale |
| :--- | :--- | :--- | :--- | :--- |
| **High-Conviction Long** | Price is near or entering the **Strong VBLZ** from above. | A **Bullish OB Signal** is present in the same area. | **Enter Long** | Strong alignment between the market's average cost basis (VBLZ) and a structural demand zone (OB). |
| **High-Conviction Short** | Price is near or entering the **Strong VBLZ** from below. | A **Bearish OB Signal** is present in the same area. | **Enter Short** | Strong alignment between the market's average cost basis (VBLZ) and a structural supply zone (OB). |
### Setting Up Alerts
The script is equipped with three critical alert conditions for automated monitoring:
1. **Price in Strong VBLZ:** Notifies you when price enters the highest conviction heatmap zone.
2. **Bullish OB Signal:** Notifies you when a new Demand Zone is established.
3. **Bearish OB Signal:** Notifies you when a new Supply Zone is established.
---
## ⚙️ Customization (Inputs)
Adjust the indicator's sensitivity via the settings menu:
* **VBLZ Lookback Length:** Controls the recency of the heatmap calculation. **Higher values** create a smoother, longer-term zone.
* **OB Min Price Move (ATR Multiplier):** Filters the Order Blocks. **Increase this value** to show only the highest-conviction zones that led to the most powerful price moves.
---
**Note on Stability:** This is **v5**, a highly stable version optimized to avoid common Pine Script runtime errors. It uses stable `plotshape` signals instead of persistent boxes for the Order Blocks to ensure reliable performance on all charts.
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market
Overview
The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs."
The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants.
How It Works: The 3-Module Logic
The indicator uses a multi-stage confirmation process to identify a potential stop hunt:
1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push.
2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales.
3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence:
An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone.
The same candle then reverses, closing back inside the previous price range.
This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable.
How to Interpret & Use This Indicator
BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP.
SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN.
This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
[Shoshi] Liquidity SuiteChatGPT řekl:
Přemýšlení po dobu 24s
Liquidity Suite
A powerful, modular toolkit for liquidity-based trading — now with level merging, per-TF/global label offsets, and a master Liquidity toggle.
• Highs/Lows from Custom, 4H, D, W, M, Y
• Previous/Current candle anchoring (wick-anchored)
• Per-TF horizontal offsets + a global right-edge offset for tidy columns
• Optional “Merging levels” with % tolerance (e.g., 0.03%) — clusters nearby levels into one label (Y / pM / …) using the highest-TF color
• Custom line style/width/color and label mode (name/price/both), auto visibility by chart TF
• Buyside/Sellside inducements and FVG/Voids (visible count cap)
• NEW: Global “Show Liquidity” switch — instantly hides and clears all liquidity graphics regardless of other settings
• Asia, London, NY, Custom sessions
• Top/Mid/Bottom + open markers/labels
• Horizontal zones and optional vertical markers (Start/Start+End), extendable lines/background
• Killzones/Day/Week/Month opens
• Optional vertical shading; configurable line + label
• Daily/Weekly/Monthly VWAP with styles Line/Step/Area/Circles/Cross
• Right-edge labels (name/price/both), theme-aware colors
• Dark/White theme
• Separate configs per session/VWAP, per-TF level offsets, and merge tolerance
• Optimized for performance with object limits (lines/labels/boxes)
• Clean, uncluttered visuals for focused execution
CHoCH + BOS + LQ Sweep v6.3.8 PRO+The CHoCH + BOS + LQ Sweep PRO indicator is a comprehensive Smart Money Concepts (SMC) tool designed to identify market structure shifts, liquidity sweeps, and key supply-demand zones across multiple timeframes. It helps traders visualize crucial price action patterns like Change of Character (CHoCH), Break of Structure (BOS), and liquidity grabs that often precede significant market reversals or continuations.
This tool is especially suited for traders applying multi-timeframe analysis and liquidity-based trading strategies on Forex, crypto, indices, or commodities.
1. Liquidity Sweeps (LQ Sweeps)
Identifies when price sweeps previous highs/lows (stop hunts/liquidity grabs).
Configurable strength setting to filter minor vs. major sweeps.
Optional stop at wick or stop at close logic for more precise entries.
Old sweeps can be displayed or hidden, with user-defined limits for historical sweeps.
2. Multi-Timeframe (HTF) Sweeps
Displays liquidity sweeps from higher timeframes (M15, H1, H4, D1, W1).
Individual checkboxes allow flexible combinations (e.g., show only H1 & H4 sweeps).
Unique colors for each timeframe to differentiate visually on the chart.
3. Supply/Demand Zones
Automatically plots zones around swing highs and lows.
Zones are dynamically updated and locked once price interacts with them.
Configurable view: Show both bullish/bearish zones or filter for one side only.
Option to display/hide old zones and limit the number of zones shown.
4. Historical Sweep Management
Stores up to 5000 sweeps internally, while adhering to TradingView’s rendering limits (max 500 drawn).
Ensures chart clarity by prioritizing the most recent sweeps.
Time-based LiquidityThis TradingView indicator identifies key liquidity zones based on previous highs and lows across multiple timeframes:
Monthly High/Low: Shows the previous month’s high and low levels, often acting as strong liquidity points where price may reverse or sweep before continuation.
Weekly High/Low: Highlights the previous week’s high and low, useful for short- to medium-term traders tracking breakout or fakeout zones.
Daily High/Low: Marks the high and low of the previous day, commonly targeted during intraday moves or liquidity grabs.
Session Zones (London & New York): Plots real-time highs and lows during the London and New York trading sessions. These zones are critical for identifying short-term liquidity sweeps and intraday volatility.
Traders use this tool to spot potential liquidity grabs, displacement entries, and reversal or continuation setups around institutional levels.
Simple Turnover with TOMCAPOverview
Turnover, or the total value traded over a given period, helps you gauge whether there’s enough liquidity in the instrument being traded. This indicator calculates the average turnover and presents it as a bar-by-bar plot. It also calculates the turnover-to-market capitalization (Tomcap) ratio, and presents this in a configurable table or text summary.
Introduction
Volume indicates the total number of shares that have been bought or sold in a specific period or during the trading day.
A company's market capitalization at any given time can be determined by multiplying its stock price by the number of shares outstanding.
Share turnover is a measure of stock liquidity, calculated by dividing the total number of shares traded during some period by the average number of shares outstanding for the same period. The higher the share turnover, the more liquid company shares are.
Compared to traditional volumes, potting the change in turnover can provide a better representation of the flow of money.
At its simplest, the daily turnover on each bar is computed as the closing price for a stock multiplied by its average volume:
turnover = volume * close / 10000000
The script calculates this by using average prices for both:
turnover = sma_volume * sma_close / 10000000
Script Basics
The script computes & plots the n-period average turnover by multiplying the moving average of price and volume.
By default, the market cap is plotted bar by bar as a background behind the turnover bars.
Every time the turnover reaches a new high in a quarter, the color of the turnover bars turns dark green. This represents the HTQ (Highest Turnover in a Quarter) , and multiple consecutive HTQs indicate a significant influx of funds into that stock.
Uses
The primary purpose of the script is to assist traders in making more informed decisions regarding stock selection.
1. Screen out non-tradable stocks
Quickly spot low-turnover names (illiquid stocks) to avoid wide spreads. Filter out any stocks whose average daily turnover is below, say, ₹5 Cr. This helps in eliminating tickers whose average turnover never clears your minimum threshold.
Example of a high-turnover stock:
Example of a low-turnover stock:
2. Turnover expansion
Observe when the average turnover suddenly expands from its previously subdued values. This occurs when money begins to flow in due to a catalyst, sectoral push, news flow, or any institutional activity.
Example:
3. Relative liquidity comparison
Even average turnover can sometimes overlook the context if we don’t know the company's size. That’s why the script also measures:
Turnover vs. Market cap (TOMCAP) , answering “What percent of the company’s value trades each day?”
Turnover vs. Free Float (TOFF) , showing liquidity against shares actually available for trading.
For example:
A small-cap stock with ₹1 Cr turnover but only ₹50 Cr market cap (Tomcap = 2 %)
vs. a large-cap with ₹10 Cr turnover and ₹20,000 Cr cap (Tomcap = 0.05 %)
Customization
A. Appearance
Dark Mode toggle switches colors to match your dark layout
Show turnover in Crores or Millions
B. What to show
Select the table size and position (e.g., top-left, bottom-center)
Under Table Settings, enable or disable any row:
Turnover
Mcap (market capitalization)
FF (free float)
1-Min liquidity (average turnover on 1-min bars)
Tomcap (Turnover to market capitalization) or Toff (Turnover to Free Float) ratio
C. Display mode
Table: a multi-row grid with colored cells
Text: a single summary string
Swing High/Low with Liquidity Sweeps🧠 Overview
This indicator identifies swing highs and swing lows based on user-defined candle lengths and checks for liquidity sweeps—situations where the price breaks a previous swing level but then closes back inside, indicating a potential false breakout or stop hunt. It also supports visual labeling and alerts for these events.
⚙️ Inputs
Swing Length (must be odd number ≥ 3):
Determines how many candles are used to identify swing highs/lows. The central candle must be higher or lower than all neighbors within the range.
Example: If swingLength = 5, the central candle must be higher/lower than the 2 candles on both sides.
Sweep Lookback (bars):
Defines how many bars to look back for possible liquidity sweeps.
Show Swing Labels (checkbox):
Optionally display labels on the chart when a swing high or low is detected.
Show Sweep Labels (checkbox):
Optionally display labels on the chart when a liquidity sweep occurs.
🕯️ Swing Detection Logic
A Swing High is detected when the high of the central candle is greater than the highs of all candles around it (as per the defined length).
A Swing Low is detected when the low of the central candle is lower than the lows of surrounding candles.
Swing labels are placed slightly above (for highs) or below (for lows) the candle.
💧 Liquidity Sweep Logic
A Sweep High is triggered if:
The current high breaks above a previously detected swing high,
And then the candle closes below that swing high,
Within the configured lookback window.
A Sweep Low is triggered if:
The current low breaks below a previous swing low,
And then closes above it,
Within the lookback window.
These are often seen as stop hunts or fake breakouts.
🔔 Alerts
Sweep High Alert: Triggered when a sweep above a swing high occurs.
Sweep Low Alert: Triggered when a sweep below a swing low occurs.
You can use these to set up TradingView alerts to notify you of potential liquidity grabs.
📊 Use Cases
Identifying market structure shifts.
Spotting fake breakouts and potential reversals.
Assisting in smart money concepts and liquidity-based trading.
Supporting entry timing in trend continuation or reversal strategies.
BTC-OTHERS Liquidity PivotBTC-OTHERS Liquidity Map – 1-hour Multi-Asset Pivot Scanner
WHAT IT DOES
This script tracks liquidity shifts between Bitcoin (BTC) and the broader alt-coin market (the OTHERS market-cap index that excludes the top-10 coins). It labels every confirmed 1-hour swing high or low on both assets, then flags four states:
BearPivot – BTC prints a new swing High while OTHERS does not; liquidity crowds into BTC and alts are weak.
BullPivot – BTC prints a swing Low and OTHERS forms a Higher Low; fresh liquidity starts flowing into stronger alts.
BearCon – BTC prints a swing Low and OTHERS forms a Lower Low; down-trend continuation.
BullCon – No new BTC Low while OTHERS makes a Higher High; up-trend continuation.
Signals appear on the actual pivot bar (offset back by the look-back length), so they never repaint after confirmation.
HOW THE PIVOTS ARE FOUND
• Symmetrical window: “Pivot Len” bars to the left and right (default 21).
• Full confirmation on both sides delivers stable, non-repainting pivots at the cost of about Pivot Len bars’ delay.
• Labels are offset –Pivot Len so they sit on the genuine extreme.
INPUTS
Symbols: BTC symbol and an OTHERS symbol so you can switch exchanges or choose another alt index.
Pivot Len: tighten for faster but noisier signals; widen for cleaner pivots.
Style: customise shape and text colours.
PLOTS AND ALERTS
Four labelled shapes (BearPivot, BullPivot, BearCon, BullCon) plot above or below price. Each label is linked to an alertcondition, so you can create one-click alerts and stay informed without watching the screen.
TYPICAL WORKFLOW
1. Attach the script to any 1-hour BTC chart (or leave the script’s timeframe empty to follow your current chart TF).
2. Turn on alerts to receive push/email notifications.
3. Use the labels as a liquidity compass, combining them with volume, funding or your own strategy for actual entries and exits.
Enjoy and trade safe.
Pivot Liquidity Sweep [scalpmeister]📌 Pivot Liquidity Sweep
Scalp-oriented, liquidity sweep-based advanced signal and strategy indicator.
This indicator analyzes the price's sweeping of significant pivot levels and the subsequent breakouts to generate long/short signals based on different logics. It is sensitive to both classic sweep logic and strong reversal candles. Additionally, it visually marks liquidity gathering zones, offering excellent opportunities especially for scalp and intraday traders.
⚙️ Features and Strategy Types
🟢 Automatic Pivot Detection:
Pivot high/low levels are detected and stored based on the number of left and right bars.
🔴 Sweep Detection (Stop Hunt):
If the price violates a pivot level with a wick and closes inside, it is considered a sweep (liquidity cleaning). Strategies activate after this sweep.
🧠 5 Different Signal Styles:
SweepBreak:
It is expected that the extreme (high/low) level of the sweeping candle is broken with a close.
PivotBreak:
After the sweep, the first newly formed pivot in the trend direction is expected to break. (It is dynamically determined and drawn on the chart.)
StrongSweep:
It is sufficient if the candle following the sweep surpasses the previous candle with a single candle. No additional breakout is expected.
StrongCandle:
Strong momentum candles measured with a special RSI calculation are taken into account. It considers strong opposite-direction candles formed shortly after a pivot sweep.
ReversalCandleSweep:
Reversal candles that close in the opposite direction after a sweep (e.g., a red close on a sweep candle formed at the top or a green close at the bottom) are directly considered as signals.
📐 Technical Details:
Signals are triggered only once (triggered control).
Sweep lines (green/red), Long and Short lines (Orange)
Strong candles are filtered using an RSI-momentum-based measurement system (StrongCandle).
Sweep and breakout zones are dynamically invalidated. That is, if the zones are violated by the price, the signals and lines are automatically canceled.
🎯 Who Should Use It?
Professional traders working with liquidity zones
Scalp and intraday strategy practitioners
Those focused on stop hunts, sweeps, and reversal zones
🔔 Alert Support:
Sweep High / Low Alert
Long / Short Signal Alert
IU Liquidity Flow TrackerDESCRIPTION
The IU Liquidity Flow Tracker is a powerful market analysis tool designed to visualize hidden buying and selling activity by analyzing price action, volume behavior, market pressure, and depth. It provides a composite view of liquidity dynamics to help traders identify accumulation, distribution, and neutral phases with high clarity.
This indicator is ideal for traders who want to gauge the flow of market participants and make informed entry/exit decisions based on the underlying liquidity structure.
USER INPUTS:
* Flow Analysis Period: Length used for analyzing price spread and volume flow.
* Pressure Sensitivity: Adjusts the sensitivity of threshold detection for flow classification.
* Flow Smoothing: Controls the smoothing applied to raw flow data.
* Market Depth Analysis: Sets the depth range for rejection and wick analysis.
* Colors: Customize colors for accumulation, distribution, neutral zones, and pressure visualization.
INDICATOR LOGIC:
The IU Liquidity Flow Tracker uses a multi-factor model to evaluate market behavior:
1. Liquidity Pressure: Combines price spread, price efficiency, and volume imbalance.
2. Flow Direction: Weighted momentum using short, medium, and long-term price changes adjusted for volume.
3. Market Depth: Wick-based rejection scoring to estimate buying/selling aggressiveness at price extremes.
4. Composite Flow Index: Blended value of flow direction, pressure, and depth—smoothed for clarity.
5. Dynamic Thresholds: Automatically adjusts based on volatility to classify the market into:
* Accumulation: Strong buying signals.
* Distribution: Strong selling signals.
* Neutral: No significant flow dominance.
6. Entry Signals: Long/Short signals are generated when flow state shifts, supported by momentum, volume surge, and depth strength.
WHY IT IS UNIQUE:
Unlike typical indicators that rely solely on price or volume, this tool combines spread behavior, volume polarity, momentum weighting, and price rejection zones into a single visual interface. It dynamically adjusts sensitivity based on market volatility, helping avoid false signals during sideways or low-volume periods.
It is not based on any traditional indicator (RSI, MACD, etc.), making it ideal for traders looking for an original and data-driven market read.
HOW USER CAN BENEFIT FROM IT:
* Understand Market Context: Know whether the market is being accumulated, distributed, or ranging.
* Improve Entries/Exits: Use flow transitions combined with volume confirmation for high-probability setups.
* Spot Institutional Activity: Detect subtle shifts in liquidity that precede major price moves.
* Reduce Whipsaws: Dynamic thresholds and multi-factor confirmation help filter noise.
* Use with Any Style: Whether you're a swing trader, day trader, or scalper, this tool adapts to different timeframes and strategies.
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Stop Hunt Indicator ║ BullVision 🧠 Overview
The Stop Hunt Indicator (SmartTrap Radar) is an original tool designed to identify potential liquidity traps caused by institutional stop hunts. It visually maps out historically significant levels where price has repeatedly reversed or rejected — and dynamically detects real-time sweep patterns based on volume, structure, and candle rejection behavior.
This script does not repurpose existing public indicators, nor does it use default TradingView built-ins such as RSI, MACD, or MAs. Its core logic is fully proprietary and was developed from scratch to support discretionary and data-driven traders in visualizing volatility risks and manipulation zones.
🔍 What the Indicator Does
This indicator identifies and visualizes potential stop hunt zones using:
Historical structure analysis: Swing highs/lows are identified via a configurable lookback period.
Liquidity level tracking: Once detected, levels are monitored for touches, age, and volume strength.
Proprietary scoring model: Each level receives a real-time significance score based on:
Age (how long the level has held)
Number of rejections (touches)
Relative volume strength
Proximity to current price
The glow intensity of plotted levels is dynamically mapped based on this score. Bright glow = higher institutional interest probability.
⚙️ Stop Hunt Detection Logic
A stop hunt is flagged when all of the following are met:
Price sweeps through a high/low beyond a user-defined penetration threshold
Wick rejection occurs (i.e., candle closes back inside the level)
Volume spikes above the average in a recent window
The script automatically:
Detects bullish stop hunts (below support) and bearish ones (above resistance)
Marks detected sweeps on-chart with optional 🔰/🚨 signals
Adjusts glow visuals based on score even after the sweep occurs
These sweeps often precede local reversals or high-volatility zones — this is not predictive, but rather a reactive mapping of market manipulation behavior.
📌 Why This Is Not Just Another Liquidity Tool
Unlike typical liquidity heatmaps or S/R indicators, this script includes:
A proprietary significance score instead of fixed rules
Multi-layer glow rendering to reflect level importance visually
Real-time scoring updates as new volume and touches occur
Combined volume × rejection × structure logic to validate stop hunts
Fully customizable detection logic (lookback, wick %, volume filters, max bars, etc.)
This indicator provides a specialized view focused solely on visualizing trap setups — not generic trend signals.
🧪 Usage Recommendations
To get started:
Add the indicator to your chart (volume-enabled instruments only)
Customize detection:
Lookback Period for structure
Penetration % for how far price must sweep
Volume Spike Multiplier
Wick rejection strength
Enable/disable features:
Glow effects
Hunt markers
Score labels
Volume highlights
Watch for:
🔰 Bullish Sweeps (below support)
🚨 Bearish Sweeps (above resistance)
Bright glowing zones = high-liquidity targets
This tool can be used for both confluence and risk assessment, especially around high-impact sessions, liquidation events, or range extremes.
📊 Volume Dependency Notice
⚠️ This indicator requires real volume data to function correctly. On instruments without volume (e.g., synthetic pairs), certain features like spike detection and scoring will be disabled or inaccurate.
🔐 Closed-Source Disclosure
This script is published as invite-only to protect its proprietary scoring, glow mapping, and detection logic. While the full implementation remains confidential, this description outlines all key mechanics and configurable logic for user transparency.
(ICT)Liquidity Grab + FVG + MSS/BOSThis script is a comprehensive educational indicator that combines and enhances several well-known trading concepts:
Liquidity Grabs (Swing Failure Patterns)
Fair Value Gaps (FVG)
Market Structure Shifts / Break of Structure (MSS/BOS)
Alerts
It identifies potential bullish and bearish liquidity grabs, confirms them optionally using volume validation on a lower timeframe, and tracks subsequent price structure changes. The indicator visually marks key swing highs/lows, FVG zones, and BOS/MSS levels—allowing traders to observe how price reacts to liquidity and imbalance zones.
🔍 Features:
Swing Failure Patterns (SFP):
Highlights possible liquidity grabs based on recent highs/lows and candle structure.
Volume Validation (Optional):
Filter signals using relative volume outside the swing on a lower timeframe. Adjustable threshold.
Fair Value Gaps (FVG):
Detects imbalance gaps and extends them for easy visualization.
Market Structure (MSS/BOS):
Displays Break of Structure (BOS) and Market Structure Shift (MSS) based on pivot highs/lows and closing conditions.
Dashboard:
A compact info panel displaying lower timeframe settings and validation status.
Custom Styling:
Adjustable colors, line styles, and label visibility for clean charting.
🧠 Ideal For:
Traders studying ICT concepts, smart money theories, and price-action-based strategies who want a visual tool for analysis and backtesting.
How to Use:
Wait for a Liquidity Grab (SFP) to form
The first condition for a potential entry is the formation of a Stop Hunt / Swing Failure Pattern (SFP).
This indicates that liquidity has been taken above or below a key level (e.g., previous high/low), and the market may be ready to reverse.
Confirmation with Fair Value Gap (FVG) and Market Structure Shift (MSS)
After the SFP, do not enter immediately. Wait for confirmation:
FVG : A Fair Value Gap (an imbalance in price action) must appear, signaling potential institutional activity.
MSS : A Market Structure Shift (break in the current trend) confirms a possible trend reversal or strong corrective move.
Enter the trade
Once both the FVG and MSS are confirmed after the SFP, you can safely enter a trade in the direction of the shift.
Alert Feature
The indicator includes an alert system to notify you when all conditions are met (SFP + FVG + MSS), so you can react quickly without constantly watching the chart.
AMD Liquidity Sweep with AlertsAMD Liquidity Sweep with Alerts
Identify key liquidity levels from the Asian trading session with visual markers and alerts.
📌 Key Features:
Asia Session Detection
Customizable start/end hours (0-23) to match your trading timezone
Automatically calculates session high/low
Smart Swing Level Identification
Finds the closest significant swing high ≥ Asia high
Finds the closest significant swing low ≤ Asia low
Adjustable pivot sensitivity (# of left/right bars)
Professional Visuals
Dashed reference lines extending into the future
Blue-highlighted key levels
Clean label formatting with precise price levels
Trading Alerts
Price-cross alerts for liquidity breaks
Visual markers (triangles) when levels are breached
Separate alerts for buy-side/sell-side liquidity
Customization Options
Toggle intermediate swing highlights
Adjust label sizes
💡 Trading Applications:
Institutional Levels: Identify zones where Asian session liquidity pools exist
Breakout Trading: Get alerted when price breaches Asian session ranges
S/R Flip Zones: Watch how price reacts at these key reference levels
London/NY Open: Use Asian levels for early European session trades
🔧 How to Use:
Set your preferred Asia session hours
Adjust pivot sensitivity (default 1 bar works for most timeframes)
Enable alerts for breakouts if desired
Watch for reactions at the plotted levels
Enhanced Volume w/ Pocket Pivots, Milestones & LiquiditySure! Here’s a professional and clear **description** you can use when saving or publishing the script on TradingView:
---
## 📄 Script Description: *Enhanced Volume w/ Pocket Pivots, Milestones & Liquidity*
This custom volume indicator enhances the default volume view by combining key institutional-level insights into a single tool. It highlights meaningful volume activity, liquidity conditions, and milestone events to help traders better understand accumulation/distribution and smart money participation.
### 🔍 Features:
* **Color-coded volume bars**:
* 🔵 **Pocket Pivot Volume (PPV)**: Up-day with volume > highest down-day volume of last 10 bars.
* 🟢 **Up Volume**: Up-day with volume > 50-day average.
* 🔴 **Down Volume**: Down-day with volume > 50-day average.
* 🟠 **Dry Volume**: Low-volume bars < 20% of 50-day average.
* ⚫ **Neutral/Other bars**: No significant signal.
* **Volume Milestones**:
* **HVE**: Highest volume ever (20 years lookback).
* **HVY**: Highest volume in the past 1 year (252 bars).
* **HVQ**: Highest volume in the past quarter (63 bars).
* **Projected Volume**:
* Real-time estimate of end-of-day volume based on elapsed session time.
* **Liquidity Metrics**:
* Displays current and 50-day average dollar volume.
* Estimates 1-minute liquidity for large-position feasibility.
* **Relative Volume Label**:
* Displays how today’s volume compares to the 50-day average.
* **Alerts Included**:
* Set alerts for HVE, HVY, and HVQ to catch key breakout or climactic volume events.
---
### 🧠 Ideal For:
* Growth stock traders
* Volume/price analysts
* Intraday & swing traders
* Institutions or prop traders needing liquidity benchmarks
---
Let me know if you'd like a short or promotional version (for sharing with others).
Power Law Global Liquidity Price Model & OscillatorDescription:
This Pine Script implements a predictive Bitcoin (BTC) price model derived from an observed power-law relationship between BTC price and Global Liquidity (specifically Global M2).
To clarify, the indicator doesn't show M2 directly as many indicators do, but uses an empirical observed relationship between BTC price and M2. This is an important difference from other Global Liquidity indicators and makes it very useful because it allows for making predictions on the future of Bitcoin price.
The model is based on the relationship BTC ~ GL^9.3, where GL represents Global M2, and the best correlation is achieved with an 85-period lead in GL, making it a leading indicator for BTC price movements. The observed correlation is higher than 0.92, giving high confidence in the model's validity. The 85-day lead was chosen by calculating the predictive rate of the model (how many times a positive/negative return in the model correlates with the price) with a given lead. The relationship between a chosen delay and predictive power has a maximum at 85 days.
Features:
BTC Price Model:
Calculates a BTC price model using the power-law relationship (BTC ~ GL^9.3) with an 85-period lead in Global Liquidity data.
The model is superimposed on the chart using forced overlay for clear visualization of the predicted BTC price trend relative to actual price.
Directional Oscillator:
Displayed in a lower panel, the oscillator compares the structural similarity between the actual BTC price and the GL-based price model.
Computes the win rate of the averaged BTC price (over a 1-year period) versus the price model to highlight structural alignment.
Projects future oscillator values based on the 85-period lead in the GL model, providing insight into potential price direction.
This feature is also very unique, and it is not present in most Global Liquidity indicators. The reason to choose the win rate is that this parameter doesn't depend on a precise scaling
between the BTC price and GL. This allows for better identification of changes in features between the 2 time series (for example, a downturn, a run up, peaks, bottoms, and similar).
Purpose:
This script serves as a predictive tool for traders and analysts by leveraging the leading relationship between Global Liquidity and BTC price. The overlay model and oscillator provide both a visual and quantitative framework to anticipate BTC price trends and assess structural alignment with global economic indicators.
The indicator allows for early identification of bottoms, peaks, and possible local bull or bear runs.
Usage Notes:
This indicator works best when used with the "All Time History" BTCUSD index.
The 85-period lead in GL allows for forward-looking projections, making this tool suitable for strategic planning.
The oscillator aids in confirming the structural validity of the model, enhancing confidence in its projections.
Quantify [Trading Model] | FractalystNote: In this description, "TM" refers to Trading Model (not trademark) and "EM" refers to Entry Model
What’s the indicator’s purpose and functionality?
You know how to identify market bias but always struggle with figuring out the best exit method, or even hesitating to take your trades?
I've been there. That's why I built this solution—once and for all—to help traders who know the market bias but need a systematic and quantitative approach for their entries and trade management.
A model that shows you real-time market probabilities and insights, so you can focus on execution with confidence—not doubt or FOMO.
How does this Quantify differentiate from Quantify ?
Have you managed to code or even found an indicator that identifies the market bias for you, so you don’t have to manually spend time analyzing the market and trend?
Then that’s exactly why you might need the Quantify Trading Model.
With the Trading Model (TM) version, the script automatically uses your given bias identification method to determine the trend (bull vs bear and neutral), detect the bias, and provide instant insight into the trades you could’ve taken.
To avoid complications from consecutive signals, it uses a kNN machine learning algorithm that processes market structure and probabilities to predict the best future patterns.
(You don’t have to deal with any complexity—it’s all taken care of for you.)
Quantify TM uses the k-Nearest Neighbors (kNN) machine learning algorithm to learn from historical market patterns and adapt to changing market structures. This means it can recognize similar market conditions from the past and apply those lessons to current trading decisions.
On the other hand, Quantify EM requires you to manually select your directional bias. It then focuses solely on generating entry signals based on that pre-determined bias.
While the entry model version (EM) uses your manual bias selection to determine the trend, it then provides insights into trades you could’ve taken and should be taking.
Trading Model (TM)
- Uses `input.source()` to incorporate your personal methodology for identifying market bias
- Automates everything—from bias detection to entry and exit decisions
- Adapts to market bias changes through kNN machine learning optimization
- Reduces human intervention in trading decisions, limiting emotional interference
Entry Model (EM)
- Focuses specifically on optimizing entry points within your pre-selected directional bias
- Requires manual input for determining market bias
- Provides entry signals without automating alerts or bias rules
Can the indicator be applied to any market approach/trading strategy?
Yes, if you have clear rules for identifying the market bias, then you can code your bias detection and then use the input.source() user input to retrieve the direction from your own indicator, then the Quantify uses machine-learning identify the best setups for you.
Here's an example:
//@version=6
indicator('Moving Averages Bias', overlay = true)
// Input lengths for moving averages
ma10_length = input.int(10, title = 'MA 10 Length')
ma20_length = input.int(20, title = 'MA 20 Length')
ma50_length = input.int(50, title = 'MA 50 Length')
// Calculate moving averages
ma10 = ta.sma(close, ma10_length)
ma20 = ta.sma(close, ma20_length)
ma50 = ta.sma(close, ma50_length)
// Identify bias
var bias = 0
if close > ma10 and close > ma20 and close > ma50 and ma10 > ma20 and ma20 > ma50
bias := 1 // Bullish
bias
else if close < ma10 and close < ma20 and close < ma50 and ma10 < ma20 and ma20 < ma50
bias := -1 // Bearish
bias
else
bias := 0 // Neutral
bias
// Plot the bias
plot(bias, title = 'Identified Bias', color = color.blue,display = display.none)
Once you've created your custom bias indicator, you can integrate it with Quantify :
- Add your bias indicator to your chart
- Open the Quantify settings
- Set the Bias option to "Auto"
- Select your custom indicator as the bias source
The machine learning algorithms will then analyze historical price action and identify optimal setups based on your defined bias parameters. Performance statistics are displayed in summary tables, allowing you to evaluate effectiveness across different timeframes.
Can the indicator be used for different timeframes or trading styles?
Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style.
Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe.
How Quantify Helps You Trade Profitably?
The Quantify Trading Model offers several powerful features that can significantly improve your trading profitability when used correctly:
Real-Time Edge Assessment
It displays real-time probability of price moving in your favor versus hitting your stoploss
This gives you immediate insight into risk/reward dynamics before entering trades
You can make more informed decisions by knowing the statistical likelihood of success
Historical Edge Validation
Instantly shows whether your trading approach has demonstrated an edge in historical data
Prevents you from trading setups that historically haven't performed well
Gives confidence when entering trades that have proven statistical advantages
Optimized Position Sizing
Analyzes each setup's success rate to determine the adjusted Kelly criterion formula
Customizes position sizing based on your selected maximum drawdown tolerance
Helps prevent account-destroying losses while maximizing growth potential
Advanced Exit Management
Utilizes market structure-based trailing stop-loss mechanisms
Maximizes the average risk-reward ratio profit per winning trade
Helps capture larger moves while protecting gains during market reversals
Emotional Discipline Enforcement
Eliminates emotional bias by adhering to your pre-defined rules for market direction
Prevents impulsive decisions by providing objective entry and exit signals
Creates psychological distance between your emotions and trading decisions
Overtrading Prevention
Highlights only setups that demonstrate positive expectancy
Reduces frequency of low-probability trades
Conserves capital for higher-quality opportunities
Systematic Approach Benefits
By combining machine learning algorithms with your personal bias identification methods, Quantify helps transform discretionary trading approaches into more systematic, probability-based strategies.
What Entry Models are used in Quantify Trading Model version?
The Quantify Trading Model utilizes two primary entry models to identify high-probability trade setups:
Breakout Entry Model
- Identifies potential trade entries when price breaks through significant swing highs and swing lows
- Captures momentum as price moves beyond established trading ranges
- Particularly effective in trending markets when combined with the appropriate bias detection
- Optimized by machine learning to filter false breakouts based on historical performance
Fractals Entry Model
- Utilizes fractal patterns to identify potential reversal or continuation points
- Also uses swing levels to determine optimal entry locations
- Based on the concept that market structure repeats across different timeframes
- Identifies local highs and lows that form natural entry points
- Enhanced by machine learning to recognize the most profitable fractal formations
- These entry models work in conjunction with your custom bias indicator to ensure trades are taken in the direction of the overall market trend. The machine learning component analyzes historical performance of these entry types across different market conditions to optimize entry timing and signal quality.
How Does This Indicator Identify Market Structure?
1. Swing Detection
• The indicator identifies key swing points on the chart. These are local highs or lows where the price reverses direction, forming the foundation of market structure.
2. Structural Break Validation
• A structural break is flagged when a candle closes above a previous swing high (bullish) or below a previous swing low (bearish).
• Break Confirmation Process:
To confirm the break, the indicator applies the following rules:
• Valid Swing Preceding the Break: There must be at least one valid swing point before the break.
3. Numeric Labeling
• Each confirmed structural break is assigned a unique numeric ID starting from 1.
• This helps traders track breaks sequentially and analyze how the market structure evolves over time.
4. Liquidity and Invalidation Zones
• For every confirmed structural break, the indicator highlights two critical zones:
1. Liquidity Zone (LIQ): Represents the structural liquidity level.
2. Invalidation Zone (INV): Acts as Invalidation point if the structure fails to hold.
How does the trailing stop-loss work? what are the underlying calculations?
A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances.
In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses.
What is the Kelly Criterion, and how does it work in Quantify?
The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff.
Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure.
How does Quantify use the Kelly Criterion in practice?
Quantify uses the Kelly Criterion to optimize position sizing based on the following factors:
1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success.
2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance.
3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion.
How can I get started to use the indicator?
1. Set Your Market Bias
• Choose Auto.
• Select the source you want Quantify to use as for bias identification method (explained above)
2. Choose Your Entry Timeframes
• Specify the timeframes you want to focus on for trade entries.
• The indicator will dynamically analyze these timeframes to provide optimal setups.
3. Choose Your Entry Model and BE/TP Levels
• Choose a model that suits your personality
• Choose a level where you'd like the script to take profit or move stop-loss to BE
4. Set and activate the alerts
What tables are used in the Quantify?
• Quarterly
• Monthly
• Weekly
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Global Liquidity Index with Editable DEMA + 107 Day OffsetGlobal Liquidity DEMA (107-Day Lead)
This indicator visualizes a smoothed version of global central bank liquidity with a forward time shift of 107 days. The concept is based on the macroeconomic observation that markets tend to lag changes in global liquidity — particularly from central banks like the Federal Reserve, ECB, BOJ, and PBOC.
The script uses a Double Exponential Moving Average (DEMA) to smooth the combined balance sheets and money supply inputs. It then offsets the result into the future by 107 days, allowing you to visually align liquidity trends with delayed market reactions. A second plot (ROC SMA) is included to help identify liquidity momentum shifts.
🔍 How to Use:
Add this indicator to any chart (S&P 500, BTC, Gold, etc.)
Compare price action to the forward-shifted liquidity trend
Look for divergence, confirmation, or crossovers with price
Use as a macro timing tool for long-term entries/exits
📌 Included Features:
Editable DEMA smoothing length
ROC + SMA overlay for momentum signals
Fixed 107-day forward projection
Includes main DEMA and ROC SMA both real-time and shifted
